Data Engineer

Senior Data Engineer (Onsite | Immediate joiners Required | F2F interview mandatory) We’re looking for an experienced and independent

Data Engineer

to help us design and build data systems that are clean, scalable, and reusable. If you enjoy working with modern data tools, solving real-world data problems, and collaborating with a supportive and capable team, we’d love to connect. This is an

on-site

contractor role

. You can be based offshore, but we ask for at least

3 hours of overlap with the Pacific Time Zone (PST), ideally available until at least 11 AM PST

. What You’ll Do Build modular and scalable data pipelines that integrate data from multiple sources. Analyze raw data and organize it based on business requirements. Collaborate with data scientists, engineers, and application teams to design effective solutions. Ensure that systems are reliable, reusable, and aligned with best practices. Identify and address data gaps, quality issues, or discrepancies proactively. Contribute to architectural discussions with a strong understanding of cloud-native patterns. What We’re Looking For Strong foundation in

cloud-native application architecture

. Hands-on experience with

both relational and non-relational databases

, including understanding their trade-offs and design considerations. Familiarity with

API design and implementation

. Comfortable working independently and communicating clearly in a remote environment. A solid grasp of

software engineering principles

, clean code practices, and system design. Technical Skills Python and Data Engineering Proficient in

Python

, with a strong understanding of object-oriented programming, data structures, and algorithms. Experience with

Apache Spark

and

PySpark

, especially using

Azure Databricks

for large-scale data processing. Azure Cloud Platform Practical experience with

Azure services,

including Function Apps, Blob Storage, DevOps, Networking, and Access Control. Familiarity with Azure data services, such as: Azure SQL Database Azure Synapse Analytics Azure Cosmos DB Azure Database for PostgreSQL Azure Data Lake Storage Azure Data Factory (ADF) for orchestration and data integration Database and SQL Strong SQL skills, including querying, transforming, and managing data in relational databases. Workflow and Orchestration Familiarity with scheduling and orchestrating data pipelines using workflow tools. Role Details Type

: Independent Contractor (Onsite) Location

: Hyderabad, India Time Zone Requirement

: Minimum

3 hours of overlap with PST (available until 11 Am PST)